Firescrew - Spotting moving objects on your RTSP network cameras faster than a caffeinated cat!
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Updated
Sep 4, 2024 - Go
Firescrew - Spotting moving objects on your RTSP network cameras faster than a caffeinated cat!
A fullstack object detection project I made for fun
Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes
This a simple comparison and benefits of the pre-trained weights model vs the random weights model
This project demonstrates object detection using YOLOv5. The model is trained on a custom dataset and can detect objects in new images. YOLOv5 is a state-of-the-art object detection model known for its speed and accuracy, making it suitable for real-time applications.
mmdetection3d 代码重点注解笔记
Tensorflow Advanced Technique Specialization - Solution
📷 This library is presented as a concrete implementation aimed at enabling a proof of concept. The library allows for positioning users in indoor spaces using various object recognition models.
Python library for Object Detection metrics.
Object detection model inferencing with DETR
Explore the Computer Vision Interview Prep repository! This GitHub collection offers interview questions and answers for Data Scientists. Elevate your knowledge of computer vision, confidently tackle technical interviews, and succeed in the dynamic field of data science with a focus on computer vision applications.
Real time AI object detection and labelling app build by using ReactJS and react webcam
Using YOLOv8 to build a Object Classifier/Tracker for RBG/Thermal Cameras
Object detection using the YOLO (You Only Look Once) algorithm is a popular deep-learning approach that allows for real-time, efficient, and accurate detection of multiple objects in an image or video stream. YOLOv7.cfg and YOLOv3.weights are specific configurations and pre-trained weights for two versions of the YOLO algorithm.
Object Detection With YOLO
smart and strong object detection ai built from scatch with some new features 🚀🚀
Image Object Recogniser with COCO pre trained machine learning model
Custom Dataset Training pipeline using Pytorch and Meta's object detection model DETR.
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